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Related Experiment Video

Updated: Jan 18, 2026

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

Published on: November 30, 2022

Information Access Costs With an Augmented Reality Head-Mounted Display.

Cody A Poole¹, Amelia C Warden², Christopher D Wickens¹

¹Colorado State University, USA.

|September 9, 2025

Summary

This summary is machine-generated.

Augmented reality (AR) head-mounted displays (HMDs) increase performance costs for spatial integration tasks as information separation grows. Head movements become more impactful with wider visual angles in AR environments.

Keywords:

attentional processes augmented reality head-mounted display display layout information access effort proximity-compatibility principle working memory

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Last Updated: Jan 18, 2026

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Published on: November 30, 2022

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Published on: September 2, 2025

Area of Science:

Human-Computer Interaction
Cognitive Psychology
Virtual Reality

Background:

Spatial integration tasks show performance costs influenced by information proximity.
Head movements have minimal impact on performance costs in prior studies.
AR-HMDs introduce novel factors for spatial integration cost analysis.

Purpose of the Study:

To quantify performance costs in a spatial integration task using an AR-HMD.
To investigate the effect of increasing visual separation on task performance.
To compare AR-HMD performance costs with previous findings on wide-angle monitors.

Main Methods:

Participants performed a spatial integration task involving judging XY coordinates within a target zone.
Information separation was varied across multiple lateral visual angles.
Response time and accuracy were measured.

Main Results:

Response time significantly increased with greater information separation.
Accuracy remained unaffected by the degree of separation.
AR-HMD performance costs were substantially higher than on a monitor.
Head movements impacted response time significantly beyond 32 degrees of separation.

Conclusions:

A task-device interaction exists, where head movement costs depend on information type.
AR-HMDs necessitate careful consideration of task characteristics for information separation modeling.